This might mean selecting 1,000 runners for the study. Since it's impossible to track the dietary habits of every long-distance runner across the globe, we would have to focus on a segment of the survey population. The reason for this is because it's unrealistic to get answers or results from everyone - instead, you can take a random sample of individuals that represent the population as a whole.įor example, we might want to compare the performance of long-distance runners that eat Weetabix for breakfast versus those who don't. In surveys with large populations, sample size is incredibly important. Sample size is a term used in market research to define the number of subjects included in a survey, study, or experiment. However, if all of this sounds new to you, let's start with what sample size is. How can you calculate sample size, reduce the margin of error and produce surveys with statistically significant results? In this short guide, we explain how you can improve your surveys and showcase some of the tools and resources you can leverage in the process.īut first, when it comes to market research, how many people do you need to interview to get results representative of the target population with the level of confidence that you are willing to accept?ĭownload our step-by-step guide to make sure you're getting the right sample size.
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How many people do you need to interview to get results representative of the target population with the level of confidence that you are willing to accept?ĭiscover how to maximize business ROI for market research.
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